Pandas Profiling Report

Dataset statistics

Number of variables	9
Number of observations	4177
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	497.8 KiB
Average record size in memory	122.0 B

Variable types

Categorical	1
Numeric	8

Alerts

`Length` is highly correlated with `Diameter` and 6 other fields	High correlation
`Diameter` is highly correlated with `Length` and 6 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shucked weight` is highly correlated with `Length` and 6 other fields	High correlation
`Viscera weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shell weight` is highly correlated with `Length` and 6 other fields	High correlation
`Rings` is highly correlated with `Length` and 6 other fields	High correlation
`Length` is highly correlated with `Diameter` and 6 other fields	High correlation
`Diameter` is highly correlated with `Length` and 6 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shucked weight` is highly correlated with `Length` and 5 other fields	High correlation
`Viscera weight` is highly correlated with `Length` and 6 other fields	High correlation
`Shell weight` is highly correlated with `Length` and 6 other fields	High correlation
`Rings` is highly correlated with `Length` and 5 other fields	High correlation
`Length` is highly correlated with `Diameter` and 5 other fields	High correlation
`Diameter` is highly correlated with `Length` and 5 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Length` and 5 other fields	High correlation
`Shucked weight` is highly correlated with `Length` and 5 other fields	High correlation
`Viscera weight` is highly correlated with `Length` and 5 other fields	High correlation
`Shell weight` is highly correlated with `Length` and 6 other fields	High correlation
`Rings` is highly correlated with `Height` and 1 other fields	High correlation
`Sex` is highly correlated with `Length` and 6 other fields	High correlation
`Length` is highly correlated with `Sex` and 7 other fields	High correlation
`Diameter` is highly correlated with `Sex` and 7 other fields	High correlation
`Height` is highly correlated with `Length` and 6 other fields	High correlation
`Whole weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Shucked weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Viscera weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Shell weight` is highly correlated with `Sex` and 7 other fields	High correlation
`Rings` is highly correlated with `Sex` and 7 other fields	High correlation

Reproduction

Analysis started	2022-02-14 00:03:43.700506
Analysis finished	2022-02-14 00:03:50.458248
Duration	6.76 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Sex
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	236.7 KiB

M	1528
I	1342
F	1307

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M
2nd row	M
3rd row	F
4th row	M
5th row	I

Common Values

Value	Count	Frequency (%)
M	1528	36.6%
I	1342	32.1%
F	1307	31.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
m	1528	36.6%
i	1342	32.1%
f	1307	31.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Length
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	134
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.5239920996

Minimum	0.075
Maximum	0.815
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.075
5-th percentile	0.295
Q1	0.45
median	0.545
Q3	0.615
95-th percentile	0.69
Maximum	0.815
Range	0.74
Interquartile range (IQR)	0.165

Descriptive statistics

Standard deviation	0.1200929126
Coefficient of variation (CV)	0.2291884031
Kurtosis	0.06462097389
Mean	0.5239920996
Median Absolute Deviation (MAD)	0.08
Skewness	-0.639873269
Sum	2188.715
Variance	0.01442230765
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.625	94	2.3%
0.55	94	2.3%
0.575	93	2.2%
0.58	92	2.2%
0.6	87	2.1%
0.62	87	2.1%
0.5	81	1.9%
0.57	79	1.9%
0.63	78	1.9%
0.61	75	1.8%
Other values (124)	3317	79.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.075	1	< 0.1%
0.11	1	< 0.1%
0.13	2	< 0.1%
0.135	1	< 0.1%
0.14	2	< 0.1%
0.15	1	< 0.1%
0.155	3	0.1%
0.16	4	0.1%
0.165	5	0.1%
0.17	3	0.1%

Value	Count	Frequency (%)
0.815	1	< 0.1%
0.8	1	< 0.1%
0.78	2	< 0.1%
0.775	2	< 0.1%
0.77	3	0.1%
0.765	2	< 0.1%
0.76	2	< 0.1%
0.755	3	0.1%
0.75	8	0.2%
0.745	5	0.1%

Diameter
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	111
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4078812545

Minimum	0.055
Maximum	0.65
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.055
5-th percentile	0.22
Q1	0.35
median	0.425
Q3	0.48
95-th percentile	0.545
Maximum	0.65
Range	0.595
Interquartile range (IQR)	0.13

Descriptive statistics

Standard deviation	0.09923986613
Coefficient of variation (CV)	0.2433057784
Kurtosis	-0.04547558144
Mean	0.4078812545
Median Absolute Deviation (MAD)	0.065
Skewness	-0.6091981423
Sum	1703.72
Variance	0.00984855103
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.45	139	3.3%
0.475	120	2.9%
0.4	111	2.7%
0.5	110	2.6%
0.47	100	2.4%
0.48	91	2.2%
0.455	90	2.2%
0.46	89	2.1%
0.44	87	2.1%
0.485	83	2.0%
Other values (101)	3157	75.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.055	1	< 0.1%
0.09	1	< 0.1%
0.095	1	< 0.1%
0.1	2	< 0.1%
0.105	4	0.1%
0.11	4	0.1%
0.115	2	< 0.1%
0.12	5	0.1%
0.125	7	0.2%
0.13	8	0.2%

Value	Count	Frequency (%)
0.65	1	< 0.1%
0.63	3	0.1%
0.625	1	< 0.1%
0.62	1	< 0.1%
0.615	1	< 0.1%
0.61	1	< 0.1%
0.605	3	0.1%
0.6	8	0.2%
0.595	4	0.1%
0.59	6	0.1%

Height
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1395163993

Minimum	0
Maximum	1.13
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.075
Q1	0.115
median	0.14
Q3	0.165
95-th percentile	0.2
Maximum	1.13
Range	1.13
Interquartile range (IQR)	0.05

Descriptive statistics

Standard deviation	0.04182705661
Coefficient of variation (CV)	0.2998002873
Kurtosis	76.02550923
Mean	0.1395163993
Median Absolute Deviation (MAD)	0.025
Skewness	3.128817379
Sum	582.76
Variance	0.001749502664
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.15	267	6.4%
0.14	220	5.3%
0.155	217	5.2%
0.175	211	5.1%
0.16	205	4.9%
0.125	202	4.8%
0.165	193	4.6%
0.135	189	4.5%
0.145	182	4.4%
0.12	169	4.0%
Other values (41)	2122	50.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
0.01	1	< 0.1%
0.015	2	< 0.1%
0.02	2	< 0.1%
0.025	5	0.1%
0.03	6	0.1%
0.035	6	0.1%
0.04	13	0.3%
0.045	11	0.3%
0.05	18	0.4%

Value	Count	Frequency (%)
1.13	1	< 0.1%
0.515	1	< 0.1%
0.25	3	0.1%
0.24	4	0.1%
0.235	6	0.1%
0.23	10	0.2%
0.225	13	0.3%
0.22	17	0.4%
0.215	31	0.7%
0.21	23	0.6%

Whole weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2429
Distinct (%)	58.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8287421594

Minimum	0.002
Maximum	2.8255
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.002
5-th percentile	0.1259
Q1	0.4415
median	0.7995
Q3	1.153
95-th percentile	1.6949
Maximum	2.8255
Range	2.8235
Interquartile range (IQR)	0.7115

Descriptive statistics

Standard deviation	0.4903890182
Coefficient of variation (CV)	0.5917268871
Kurtosis	-0.02364350427
Mean	0.8287421594
Median Absolute Deviation (MAD)	0.3565
Skewness	0.5309585633
Sum	3461.656
Variance	0.2404813892
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.2225	8	0.2%
0.196	7	0.2%
0.4775	7	0.2%
0.97	7	0.2%
1.1345	7	0.2%
0.18	6	0.1%
0.6765	6	0.1%
0.5805	6	0.1%
0.3245	6	0.1%
0.494	6	0.1%
Other values (2419)	4111	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.002	1	< 0.1%
0.008	1	< 0.1%
0.0105	1	< 0.1%
0.013	1	< 0.1%
0.014	1	< 0.1%
0.0145	2	< 0.1%
0.015	1	< 0.1%
0.0155	1	< 0.1%
0.0175	1	< 0.1%
0.018	2	< 0.1%

Value	Count	Frequency (%)
2.8255	1	< 0.1%
2.7795	1	< 0.1%
2.657	1	< 0.1%
2.555	1	< 0.1%
2.55	1	< 0.1%
2.548	1	< 0.1%
2.526	1	< 0.1%
2.5155	1	< 0.1%
2.5085	1	< 0.1%
2.505	1	< 0.1%

Shucked weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1515
Distinct (%)	36.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3593674886

Minimum	0.001
Maximum	1.488
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.001
5-th percentile	0.0524
Q1	0.186
median	0.336
Q3	0.502
95-th percentile	0.7402
Maximum	1.488
Range	1.487
Interquartile range (IQR)	0.316

Descriptive statistics

Standard deviation	0.221962949
Coefficient of variation (CV)	0.6176489417
Kurtosis	0.5951236784
Mean	0.3593674886
Median Absolute Deviation (MAD)	0.1585
Skewness	0.7190979218
Sum	1501.078
Variance	0.04926755074
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.175	11	0.3%
0.2505	10	0.2%
0.165	9	0.2%
0.097	9	0.2%
0.21	9	0.2%
0.419	9	0.2%
0.302	9	0.2%
0.096	9	0.2%
0.2025	9	0.2%
0.2945	9	0.2%
Other values (1505)	4084	97.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.001	1	< 0.1%
0.0025	1	< 0.1%
0.0045	2	< 0.1%
0.005	3	0.1%
0.0055	2	< 0.1%
0.0065	3	0.1%
0.007	1	< 0.1%
0.0075	4	0.1%
0.008	1	< 0.1%
0.0085	1	< 0.1%

Value	Count	Frequency (%)
1.488	1	< 0.1%
1.351	1	< 0.1%
1.3485	1	< 0.1%
1.253	1	< 0.1%
1.2455	1	< 0.1%
1.2395	2	< 0.1%
1.232	1	< 0.1%
1.1965	1	< 0.1%
1.1945	1	< 0.1%
1.1705	1	< 0.1%

Viscera weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	880
Distinct (%)	21.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1805936079

Minimum	0.0005
Maximum	0.76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.0005
5-th percentile	0.027
Q1	0.0935
median	0.171
Q3	0.253
95-th percentile	0.3796
Maximum	0.76
Range	0.7595
Interquartile range (IQR)	0.1595

Descriptive statistics

Standard deviation	0.1096142503
Coefficient of variation (CV)	0.6069663902
Kurtosis	0.084011749
Mean	0.1805936079
Median Absolute Deviation (MAD)	0.0795
Skewness	0.5918521514
Sum	754.3395
Variance	0.01201528386
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.1715	15	0.4%
0.196	14	0.3%
0.037	13	0.3%
0.061	13	0.3%
0.0575	13	0.3%
0.2195	13	0.3%
0.156	12	0.3%
0.096	12	0.3%
0.0265	12	0.3%
0.1625	12	0.3%
Other values (870)	4048	96.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0005	2	< 0.1%
0.002	1	< 0.1%
0.0025	2	< 0.1%
0.003	3	0.1%
0.0035	3	0.1%
0.004	1	< 0.1%
0.0045	4	0.1%
0.005	7	0.2%
0.0055	6	0.1%
0.006	2	< 0.1%

Value	Count	Frequency (%)
0.76	1	< 0.1%
0.6415	1	< 0.1%
0.59	1	< 0.1%
0.575	1	< 0.1%
0.5745	1	< 0.1%
0.564	1	< 0.1%
0.55	1	< 0.1%
0.541	2	< 0.1%
0.5265	1	< 0.1%
0.526	1	< 0.1%

Shell weight
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	926
Distinct (%)	22.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.2388308595

Minimum	0.0015
Maximum	1.005
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	0.0015
5-th percentile	0.0384
Q1	0.13
median	0.234
Q3	0.329
95-th percentile	0.48
Maximum	1.005
Range	1.0035
Interquartile range (IQR)	0.199

Descriptive statistics

Standard deviation	0.1392026695
Coefficient of variation (CV)	0.5828504316
Kurtosis	0.5319261262
Mean	0.2388308595
Median Absolute Deviation (MAD)	0.0995
Skewness	0.6209268251
Sum	997.5965
Variance	0.0193773832
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.275	43	1.0%
0.25	42	1.0%
0.315	40	1.0%
0.265	40	1.0%
0.185	40	1.0%
0.17	37	0.9%
0.285	37	0.9%
0.175	36	0.9%
0.3	36	0.9%
0.22	36	0.9%
Other values (916)	3790	90.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.0015	1	< 0.1%
0.003	1	< 0.1%
0.0035	1	< 0.1%
0.004	2	< 0.1%
0.005	12	0.3%
0.006	1	< 0.1%
0.0065	1	< 0.1%
0.007	1	< 0.1%
0.0075	1	< 0.1%
0.008	4	0.1%

Value	Count	Frequency (%)
1.005	1	< 0.1%
0.897	1	< 0.1%
0.885	2	< 0.1%
0.85	1	< 0.1%
0.815	1	< 0.1%
0.7975	1	< 0.1%
0.78	1	< 0.1%
0.76	1	< 0.1%
0.726	1	< 0.1%
0.725	3	0.1%

Rings
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.933684463

Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	32.8 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	8
median	9
Q3	11
95-th percentile	16
Maximum	29
Range	28
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.224169032
Coefficient of variation (CV)	0.324569302
Kurtosis	2.330687427
Mean	9.933684463
Median Absolute Deviation (MAD)	2
Skewness	1.114101898
Sum	41493
Variance	10.39526595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
9	689	16.5%
10	634	15.2%
8	568	13.6%
11	487	11.7%
7	391	9.4%
12	267	6.4%
6	259	6.2%
13	203	4.9%
14	126	3.0%
5	115	2.8%
Other values (18)	438	10.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	15	0.4%
4	57	1.4%
5	115	2.8%
6	259	6.2%
7	391	9.4%
8	568	13.6%
9	689	16.5%
10	634	15.2%

Value	Count	Frequency (%)
29	1	< 0.1%
27	2	< 0.1%
26	1	< 0.1%
25	1	< 0.1%
24	2	< 0.1%
23	9	0.2%
22	6	0.1%
21	14	0.3%
20	26	0.6%
19	32	0.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Sex	Length	Diameter	Height	Whole weight	Shucked weight	Viscera weight	Shell weight	Rings
0	M	0.455	0.365	0.095	0.5140	0.2245	0.1010	0.150	15
1	M	0.350	0.265	0.090	0.2255	0.0995	0.0485	0.070	7
2	F	0.530	0.420	0.135	0.6770	0.2565	0.1415	0.210	9
3	M	0.440	0.365	0.125	0.5160	0.2155	0.1140	0.155	10
4	I	0.330	0.255	0.080	0.2050	0.0895	0.0395	0.055	7
5	I	0.425	0.300	0.095	0.3515	0.1410	0.0775	0.120	8
6	F	0.530	0.415	0.150	0.7775	0.2370	0.1415	0.330	20
7	F	0.545	0.425	0.125	0.7680	0.2940	0.1495	0.260	16
8	M	0.475	0.370	0.125	0.5095	0.2165	0.1125	0.165	9
9	F	0.550	0.440	0.150	0.8945	0.3145	0.1510	0.320	19

Last rows

	Sex	Length	Diameter	Height	Whole weight	Shucked weight	Viscera weight	Shell weight	Rings
4167	M	0.500	0.380	0.125	0.5770	0.2690	0.1265	0.1535	9
4168	F	0.515	0.400	0.125	0.6150	0.2865	0.1230	0.1765	8
4169	M	0.520	0.385	0.165	0.7910	0.3750	0.1800	0.1815	10
4170	M	0.550	0.430	0.130	0.8395	0.3155	0.1955	0.2405	10
4171	M	0.560	0.430	0.155	0.8675	0.4000	0.1720	0.2290	8
4172	F	0.565	0.450	0.165	0.8870	0.3700	0.2390	0.2490	11
4173	M	0.590	0.440	0.135	0.9660	0.4390	0.2145	0.2605	10
4174	M	0.600	0.475	0.205	1.1760	0.5255	0.2875	0.3080	9
4175	F	0.625	0.485	0.150	1.0945	0.5310	0.2610	0.2960	10
4176	M	0.710	0.555	0.195	1.9485	0.9455	0.3765	0.4950	12

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows